Custom AI solutions for automation and growth

Computer Vision

Transform how you work with images and video:

• Automate quality control by detecting defects and anomalies
• Count inventory or track assets automatically
• Classify and sort products or documents visually
• Analyze video footage for insights and patterns
• Generate custom images for marketing or design
• Identify and segment specific regions or objects in images

Real-world applications: manufacturing quality assurance, automated inventory management, visual search, security monitoring, and many more.

Natural Language Processing (NLP) and Large Language Models (LLMs)

Unlock the power of text and conversation:

• Build intelligent chatbots and customer service systems
• Automatically categorize and organize documents
• Extract key information like names, dates, and locations from contracts, emails and other documents
• Analyze customer feedback to understand sentiment and opinions
• Generate summaries of lengthy documents or reports
• Create custom question-answering systems that give precise answers even from complex data sources
• Customize AI models like GPT or LLaMA for your specific industry needs

Real-world applications: automated customer support, document processing, market research analysis, internal knowledge management, and many more

Time Series Analysis

Turn your historical data into future insights:

• Forecast future demand, sales, or trends to plan ahead with confidence
• Detect unusual patterns or anomalies in your data streams automatically
• Understand seasonal patterns and long-term trends in your business metrics
• Measure how specific events (promotions, market changes, etc.) impact your performance
• Analyze multiple related metrics together to see the bigger picture
• Get real-time predictions that update as new data comes in

Real-world applications: demand forecasting, financial risk management, predictive maintenance, supply chain optimization, energy consumption forecasting, patient monitoring.

Reinforcement Learning

Teach AI to make smarter decisions through trial and experience:

• Build AI systems that learn and improve through practice, without needing perfect instructions
• Create intelligent agents that plan ahead efficiently using past experience
• Deploy multiple AI agents that work together or compete to achieve better outcomes
• Train AI on historical data when real-time testing is too expensive or risky

Real-world applications: warehouse robotics, dynamic pricing, resource scheduling, personalized recommendations, investment optimization, game AI and simulations.

Multimodal Processing

Combine insights across text, images, audio, and more for smarter AI:

• Create AI that understands multiple data types simultaneously (text, images, audio, video)
• Search and match information across different formats (find images using text, or vice versa)
• Combine data from multiple sources for better decision-making
• Process spoken language and environmental sounds alongside visual information
• Generate content in multiple formats (create images from text descriptions)

Real-world applications: interactive AI assistants, healthcare diagnostics, visual product search, smart surveillance, content recommendations, autonomous vehicles and robots.

Graph and Relational Reasoning

Understand complex connections and relationships in your data:

• Analyze deep learning models designed to work with interconnected data and relationships
• Build structured knowledge from unorganized information and datasets
• Predict missing connections between entities (useful for recommendations and fraud detection)
• Discover natural groupings, communities, and patterns within complex networks
• Enable AI to perform logical reasoning and optimization across interconnected systems

Real-world applications: warehouse robotics, dynamic pricing, resource scheduling, personalized recommendations, investment optimization, game AI and simulations.